Discussion on "Two-Stage Procedures for High-Dimensional Data" by Makoto Aoshima and Kazuyoshi Yata

Pinyuen Chen; S. Panchapakesan

doi:10.1080/07474946.2011.619094

Discussion on "Two-Stage Procedures for High-Dimensional Data" by Makoto Aoshima and Kazuyoshi Yata

Pinyuen Chen, S. Panchapakesan

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

Professors Mokoto Aoshima and Kaziyoshi Yata have considered several types of statistical inference problems for multivariate high-dimensional data in the so-called large p, small n situation. For this purpose, in their article they have developed the theory for asymptotic normality when p → ∞. Their work opens up new directions for further investigations and generalizations. We briefly comment on these and discuss a multinomial problem.

Original language	English (US)
Pages (from-to)	412-415
Number of pages	4
Journal	Sequential Analysis
Volume	30
Issue number	4
DOIs	https://doi.org/10.1080/07474946.2011.619094
State	Published - Oct 2011

Keywords

Asymptotic normality
High-dimensional data
Multinomial population
Two-stage procedures

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation

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10.1080/07474946.2011.619094

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abstract = "Professors Mokoto Aoshima and Kaziyoshi Yata have considered several types of statistical inference problems for multivariate high-dimensional data in the so-called large p, small n situation. For this purpose, in their article they have developed the theory for asymptotic normality when p → ∞. Their work opens up new directions for further investigations and generalizations. We briefly comment on these and discuss a multinomial problem.",

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AB - Professors Mokoto Aoshima and Kaziyoshi Yata have considered several types of statistical inference problems for multivariate high-dimensional data in the so-called large p, small n situation. For this purpose, in their article they have developed the theory for asymptotic normality when p → ∞. Their work opens up new directions for further investigations and generalizations. We briefly comment on these and discuss a multinomial problem.

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KW - High-dimensional data

KW - Multinomial population

KW - Two-stage procedures

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Discussion on "Two-Stage Procedures for High-Dimensional Data" by Makoto Aoshima and Kazuyoshi Yata

Abstract

Keywords

ASJC Scopus subject areas

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